Papers
1
Total Citations
11
H-Index
1
About
Dr. Qing Hu is a leading researcher in underwater robotics and computer vision, with a focus on advancing autonomous perception in challenging aquatic environments. Their most notable contribution is a pioneering 2024 study on underwater robot ranging technology, which integrates semantic segmentation with binocular vision to overcome the distortions caused by light refraction. By deriving an accurate underwater imaging model, Dr. Hu provided a critical theoretical foundation for underwater camera calibration—a longstanding barrier to precise depth estimation. This work enables underwater vehicles to reliably identify and measure distances to submerged targets, directly enhancing the autonomy of remotely operated and autonomous underwater vehicles. With 11 citations in its first year, the paper has already influenced subsequent research in marine robotics and underwater sensing. Dr. Hu’s contributions bridge the gap between computer vision theory and practical robotic navigation, offering scalable solutions for ocean exploration, pipeline inspection, and environmental monitoring. Their research continues to push the boundaries of what underwater robots can perceive and achieve.
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Top Papers
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